# rm -rf dataset
# mkdir dataset
# python3 preprocess_bart.


python3 multiTaskLearning/stl.py --datasets t1 t2 --epochs 120 --experimentname STL_joint --savefreq 10 --device cuda:0 --scarcities 0 1 2 3 > STL-Joint-training.log


python3 multiTaskLearning/stl.py --datasets t2 --epochs 120 --experimentname STL_nojoint --savefreq 10 --device cuda:0 --scarcities 0 1 2 3 --mixeddata 0 > STL-Non-joint-training-t2.log


python3 multiTaskLearning/mtl.py --datasets t1 t2  --weighting uncert --blockstructures trueshare trueshare mhushare mhushare mhushare mhushare mhushare mhushare mhushare mhushare mhushare mhushare --epochs 120 --experimentname MTL_uncert_mhushare --device cuda:0 --scarcities 0 1 2 3 --savefreq 10 > MTL-multi-head.log


python3 multiTaskLearning/mtl.py --datasets t1 t2 --weighting naive --blockstructures trueshare trueshare split split split split split split split split split split --epochs 120 --experimentname MTL_naive_split --device cuda:0 --scarcities 0 1 2 3 --savefreq 10 > MTL-split.log